Using Large Language Models in Online Media
Generate content audiences want, in a way they can easily access
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The online media industry is under pressure to deliver more content with improved engagement rates on shorter deadlines. Strategic priorities that leverage the capabilities of large language models (LLMs) include organizing vast amounts of text for discovery. For example, a publishing house may need to granularly organize millions of articles, documents and other written assets so they are easily searchable for journalists, and can be personalized for curated tutorials and recommendation algorithms for users.
LLMs Address Key Challenges for Online Media
Publishers are under increased pressure to create desired content for a variety of platforms and customers – both enterprises and individuals. Using an LLM filter to weed out unpublishable manuscripts allows employees to be freed up to focus on high-priority projects such as advancing quality content.
Reaching a Global Audience
Integrating LLM technology for machine translation services removes the redundancy of having employees manually translate each text into multiple languages. With LLMs handling these translation services, your team is empowered to spend their time ideating and delivering higher priority projects.
Publishing and production houses contain millions of texts and that number only grows by the day. Using LLMs to granularly organize and distribute these large corpus texts on an as-needed basis makes research easier for journalists within the publishing house as well as stakeholders of the publishing industry.
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New open source models and algorithms now allow millions of developers to build what was previously available only to the industry giants like Google or Facebook. Thanks to deepset Cloud, it’s now possible for enterprises to rapidly replicate LLM’s game-changing capabilities for textual evaluations, processing, discovery, analysis and generation – based on their unique needs.
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Why choose deepset Cloud?
Start building now
You’ll have your first prototype at breakfast, feedback by lunch, and an integrated NLP service before dinner. The deepset Cloud platform solves problems like infrastructure, evaluation, demo UI, and feedback mechanisms so that you can focus on what truly drives your business forward.
Scale without the hassle
From vector storage to GPU inference, things become hard when you do them at scale. deepset Cloud manages all the underlying infrastructure for you so that you can focus on developing the features your product needs.
Future-proof your application
Generative AI capabilities are advancing at an unprecedented pace. New and better models emerge all the time. If you’re using deepset Cloud in your app, you have our team of solution engineers making sure you aren’t stuck with a single-vendor model. With deepset Cloud, you can easily use and compare models like GPT-4, Llama-v2 or Claude.
Securely build for enterprise
We know what it takes to build an application in an enterprise context. In deepset Cloud, you can manage access with MFA and SSO, and your data layer can stay in your VPC. If you need that little extra boost, our NLP experts will support you with professional services.
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